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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Things to try

As already mentioned, financial markets are large and complicated. The methods that we’ve tried are just the very beginning. Using RL to create a complete and profitable trading strategy is a large project, which can take several months of dedicated labor. However, there are things that we can try:

  1. Our data representation is definitely not perfect. We don’t take into account significant price levels (support and resistance), round price values, and others. Incorporating them into the observation could be a challenging problem.
  2. Market prices are usually analyzed at different timeframes. Low-level data like one-minute bars are noisy (as they include lots of small price movements caused by individual trades), and it is like looking at ...
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Publisher Resources

ISBN: 9781788834247